Data science in the library :: tools and strategies for supporting data-driven research and instruction /
In the last decade, data science has generated new fields of study and transformed existing disciplines. As data science reshapes academia, how can libraries and librarians engage with this rapidly evolving, dynamic form of research? Can libraries leverage their existing strengths in information man...
Gespeichert in:
Weitere Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
London :
Facet Publishing,
2022.
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Schlagworte: | |
Online-Zugang: | DE-862 DE-863 |
Zusammenfassung: | In the last decade, data science has generated new fields of study and transformed existing disciplines. As data science reshapes academia, how can libraries and librarians engage with this rapidly evolving, dynamic form of research? Can libraries leverage their existing strengths in information management, instruction, and research support to advance data science?Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction brings together an international group of librarians and faculty to consider the opportunities afforded by data science for research libraries. Using practical examples, each chapter focuses on data science instruction, reproducible research, establishing data science services and key data science partnerships.This book will be invaluable to library and information professionals interested in building or expanding data science services. It is a practical, useful tool for researchers, students, and instructors interested in implementing models for data science service that build community and advance the discipline. |
Beschreibung: | 1 online resource (xxx, 146 pages) : illustrations |
Bibliographie: | Includes bibliographical references and index. |
ISBN: | 9781783304615 1783304618 9781783305186 1783305185 |
Internformat
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245 | 0 | 0 | |a Data science in the library : |b tools and strategies for supporting data-driven research and instruction / |c edited by Joel Herndon. |
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504 | |a Includes bibliographical references and index. | ||
520 | |a In the last decade, data science has generated new fields of study and transformed existing disciplines. As data science reshapes academia, how can libraries and librarians engage with this rapidly evolving, dynamic form of research? Can libraries leverage their existing strengths in information management, instruction, and research support to advance data science?Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction brings together an international group of librarians and faculty to consider the opportunities afforded by data science for research libraries. Using practical examples, each chapter focuses on data science instruction, reproducible research, establishing data science services and key data science partnerships.This book will be invaluable to library and information professionals interested in building or expanding data science services. It is a practical, useful tool for researchers, students, and instructors interested in implementing models for data science service that build community and advance the discipline. | ||
505 | 0 | 0 | |g Introduction: |t The rise of data science / Joel Herndon -- |g Part 1: |t Data science and research libraries : perspectives. |g 1. |t Sustainability and success models for informal data science training within libraries / |r Elizabeth Wickes -- |g 2. |t The Fundación Juan March DataLab : a data science unit within a research support library / |r Luis Martínez-Uribe, Paz Fernández and Fernando Martínez-- |g Part 2: |t Data science instruction. |g 3. |t Toward reproducibility : academic libraries and open science / |r Joshua Quan -- |g 4. |t Start with data science / |r Mine Çetinkaya-Rundel -- |g Part 3: |t Data science services. |g 5. |t In support of data-intensive science at the University of Washington / |r Jenny Muilenburg -- |g 6. |t From a data archive to data science : supporting current research / |r Tim Dennis, Zhiyuan Yao, Leigh Phan, Kristian Allen, Jamie Jamison, Doug Daniels, and Ibraheem Ali -- |g Part 4: |t Designing and staffing data science. |g 7. |t In-house training as the first step to becoming a data savvy librarian / |r Jeannette Ekstrøm -- |g 8. |t Designing for data science : planning for library data services / |r Joel Herndon. |
588 | |a Description based on online resource; title from digital title page (Cambridge University Press, viewed April 18, 2023). | ||
650 | 0 | |a Database management in libraries. |0 http://id.loc.gov/authorities/subjects/sh2016002478 | |
650 | 0 | |a Data curation in libraries. |0 http://id.loc.gov/authorities/subjects/sh2016002479 | |
650 | 0 | |a Data services librarians. |0 http://id.loc.gov/authorities/subjects/sh2018002071 | |
650 | 0 | |a Research |x Data processing. |0 http://id.loc.gov/authorities/subjects/sh85113022 | |
650 | 0 | |a Big data. |0 http://id.loc.gov/authorities/subjects/sh2012003227 | |
650 | 6 | |a Base de données |x Gestion, dans les bibliothèques. | |
650 | 6 | |a Édition de contenu dans les bibliothèques. | |
650 | 6 | |a Bibliothécaires de données. | |
650 | 6 | |a Données volumineuses. | |
650 | 7 | |a Bibliotecas |x Datos-Tratamiento |2 embne | |
650 | 0 | 7 | |a Datos-Tratamiento |2 embucm |
650 | 7 | |a Big data |2 fast | |
650 | 7 | |a Data curation in libraries |2 fast | |
650 | 7 | |a Data services librarians |2 fast | |
650 | 7 | |a Database management in libraries |2 fast | |
650 | 7 | |a Research |x Data processing |2 fast | |
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adam_text | |
any_adam_object | |
author2 | Herndon, Joel |
author2_role | edt |
author2_variant | j h jh |
author_GND | http://id.loc.gov/authorities/names/no2022102474 |
author_additional | Elizabeth Wickes -- Luis Martínez-Uribe, Paz Fernández and Fernando Martínez-- Joshua Quan -- Mine Çetinkaya-Rundel -- Jenny Muilenburg -- Tim Dennis, Zhiyuan Yao, Leigh Phan, Kristian Allen, Jamie Jamison, Doug Daniels, and Ibraheem Ali -- Jeannette Ekstrøm -- Joel Herndon. |
author_facet | Herndon, Joel |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | Z - Library Science |
callnumber-label | Z711 |
callnumber-raw | Z711.97 .D38 2022eb |
callnumber-search | Z711.97 .D38 2022eb |
callnumber-sort | Z 3711.97 D38 42022EB |
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collection | ZDB-4-EBA |
contents | The rise of data science / Joel Herndon -- Data science and research libraries : perspectives. Sustainability and success models for informal data science training within libraries / The Fundación Juan March DataLab : a data science unit within a research support library / Data science instruction. Toward reproducibility : academic libraries and open science / Start with data science / Data science services. In support of data-intensive science at the University of Washington / From a data archive to data science : supporting current research / Designing and staffing data science. In-house training as the first step to becoming a data savvy librarian / Designing for data science : planning for library data services / |
ctrlnum | (OCoLC)1289443939 |
dewey-full | 005.74 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 005 - Computer programming, programs, data, security |
dewey-raw | 005.74 |
dewey-search | 005.74 |
dewey-sort | 15.74 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
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spelling | Data science in the library : tools and strategies for supporting data-driven research and instruction / edited by Joel Herndon. London : Facet Publishing, 2022. 1 online resource (xxx, 146 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. In the last decade, data science has generated new fields of study and transformed existing disciplines. As data science reshapes academia, how can libraries and librarians engage with this rapidly evolving, dynamic form of research? Can libraries leverage their existing strengths in information management, instruction, and research support to advance data science?Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction brings together an international group of librarians and faculty to consider the opportunities afforded by data science for research libraries. Using practical examples, each chapter focuses on data science instruction, reproducible research, establishing data science services and key data science partnerships.This book will be invaluable to library and information professionals interested in building or expanding data science services. It is a practical, useful tool for researchers, students, and instructors interested in implementing models for data science service that build community and advance the discipline. Introduction: The rise of data science / Joel Herndon -- Part 1: Data science and research libraries : perspectives. 1. Sustainability and success models for informal data science training within libraries / Elizabeth Wickes -- 2. The Fundación Juan March DataLab : a data science unit within a research support library / Luis Martínez-Uribe, Paz Fernández and Fernando Martínez-- Part 2: Data science instruction. 3. Toward reproducibility : academic libraries and open science / Joshua Quan -- 4. Start with data science / Mine Çetinkaya-Rundel -- Part 3: Data science services. 5. In support of data-intensive science at the University of Washington / Jenny Muilenburg -- 6. From a data archive to data science : supporting current research / Tim Dennis, Zhiyuan Yao, Leigh Phan, Kristian Allen, Jamie Jamison, Doug Daniels, and Ibraheem Ali -- Part 4: Designing and staffing data science. 7. In-house training as the first step to becoming a data savvy librarian / Jeannette Ekstrøm -- 8. Designing for data science : planning for library data services / Joel Herndon. Description based on online resource; title from digital title page (Cambridge University Press, viewed April 18, 2023). Database management in libraries. http://id.loc.gov/authorities/subjects/sh2016002478 Data curation in libraries. http://id.loc.gov/authorities/subjects/sh2016002479 Data services librarians. http://id.loc.gov/authorities/subjects/sh2018002071 Research Data processing. http://id.loc.gov/authorities/subjects/sh85113022 Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Base de données Gestion, dans les bibliothèques. Édition de contenu dans les bibliothèques. Bibliothécaires de données. Données volumineuses. Bibliotecas Datos-Tratamiento embne Datos-Tratamiento embucm Big data fast Data curation in libraries fast Data services librarians fast Database management in libraries fast Research Data processing fast Electronic books. Herndon, Joel, editor. http://id.loc.gov/authorities/names/no2022102474 Print version: Data science in the library. London : Facet Publishing, 2021 9781783304608 (OCoLC)1264401042 |
spellingShingle | Data science in the library : tools and strategies for supporting data-driven research and instruction / The rise of data science / Joel Herndon -- Data science and research libraries : perspectives. Sustainability and success models for informal data science training within libraries / The Fundación Juan March DataLab : a data science unit within a research support library / Data science instruction. Toward reproducibility : academic libraries and open science / Start with data science / Data science services. In support of data-intensive science at the University of Washington / From a data archive to data science : supporting current research / Designing and staffing data science. In-house training as the first step to becoming a data savvy librarian / Designing for data science : planning for library data services / Database management in libraries. http://id.loc.gov/authorities/subjects/sh2016002478 Data curation in libraries. http://id.loc.gov/authorities/subjects/sh2016002479 Data services librarians. http://id.loc.gov/authorities/subjects/sh2018002071 Research Data processing. http://id.loc.gov/authorities/subjects/sh85113022 Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Base de données Gestion, dans les bibliothèques. Édition de contenu dans les bibliothèques. Bibliothécaires de données. Données volumineuses. Bibliotecas Datos-Tratamiento embne Datos-Tratamiento embucm Big data fast Data curation in libraries fast Data services librarians fast Database management in libraries fast Research Data processing fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh2016002478 http://id.loc.gov/authorities/subjects/sh2016002479 http://id.loc.gov/authorities/subjects/sh2018002071 http://id.loc.gov/authorities/subjects/sh85113022 http://id.loc.gov/authorities/subjects/sh2012003227 |
title | Data science in the library : tools and strategies for supporting data-driven research and instruction / |
title_alt | The rise of data science / Joel Herndon -- Data science and research libraries : perspectives. Sustainability and success models for informal data science training within libraries / The Fundación Juan March DataLab : a data science unit within a research support library / Data science instruction. Toward reproducibility : academic libraries and open science / Start with data science / Data science services. In support of data-intensive science at the University of Washington / From a data archive to data science : supporting current research / Designing and staffing data science. In-house training as the first step to becoming a data savvy librarian / Designing for data science : planning for library data services / |
title_auth | Data science in the library : tools and strategies for supporting data-driven research and instruction / |
title_exact_search | Data science in the library : tools and strategies for supporting data-driven research and instruction / |
title_full | Data science in the library : tools and strategies for supporting data-driven research and instruction / edited by Joel Herndon. |
title_fullStr | Data science in the library : tools and strategies for supporting data-driven research and instruction / edited by Joel Herndon. |
title_full_unstemmed | Data science in the library : tools and strategies for supporting data-driven research and instruction / edited by Joel Herndon. |
title_short | Data science in the library : |
title_sort | data science in the library tools and strategies for supporting data driven research and instruction |
title_sub | tools and strategies for supporting data-driven research and instruction / |
topic | Database management in libraries. http://id.loc.gov/authorities/subjects/sh2016002478 Data curation in libraries. http://id.loc.gov/authorities/subjects/sh2016002479 Data services librarians. http://id.loc.gov/authorities/subjects/sh2018002071 Research Data processing. http://id.loc.gov/authorities/subjects/sh85113022 Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Base de données Gestion, dans les bibliothèques. Édition de contenu dans les bibliothèques. Bibliothécaires de données. Données volumineuses. Bibliotecas Datos-Tratamiento embne Datos-Tratamiento embucm Big data fast Data curation in libraries fast Data services librarians fast Database management in libraries fast Research Data processing fast |
topic_facet | Database management in libraries. Data curation in libraries. Data services librarians. Research Data processing. Big data. Base de données Gestion, dans les bibliothèques. Édition de contenu dans les bibliothèques. Bibliothécaires de données. Données volumineuses. Bibliotecas Datos-Tratamiento Datos-Tratamiento Big data Data curation in libraries Data services librarians Database management in libraries Research Data processing Electronic books. |
work_keys_str_mv | AT herndonjoel datascienceinthelibrarytoolsandstrategiesforsupportingdatadrivenresearchandinstruction |